Evidence map›Paper›PMID 39605610›Full record

ArticlebioRxiv : the preprint server for biology2024

Appearance of green tea compounds in plasma following acute green tea consumption is modulated by the gut microbiome in mice.

John D Sterrett, Kevin D Quinn, Katrina A Doenges, Nichole M Nusbacher, Cassandra L Levens, Mike L Armstrong, Richard M Reisdorph, Harry Smith, Laura M Saba, Kristine A Kuhn and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

John D SterrettDepartment of Integrative Physiology, University of Colorado, Boulder, CO.ORCID 0000-0002-0931-7181
Kevin D QuinnSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO.
Katrina A DoengesSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO.
Nichole M NusbacherDepartment of Biomedical Informatics, Anschutz Medical Campus, University of Colorado, Aurora, CO.
Cassandra L LevensDivision of Rheumatology, Department of Medicine, University of Colorado, Aurora, CO.
Mike L ArmstrongSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO.
Richard M ReisdorphSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO.
Harry SmithSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO.
Laura M SabaSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO.
Kristine A KuhnDivision of Rheumatology, Department of Medicine, University of Colorado, Aurora, CO.ORCID 0000-0002-6900-4195
Catherine A LozuponeDepartment of Biomedical Informatics, Anschutz Medical Campus, University of Colorado, Aurora, CO.ORCID 0000-0003-4786-7202
Nichole A ReisdorphSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, CO.

Funding

Predicting Health Outcomes of Mediterranean Diet via Metabolomics of Foods and BiospecimensR01DK113957 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI CAMPBELL, WAYNE W, KREBS, NANCY F · 2018 to 2022
$3.2M
NIDDK NIH HHS R01 DK113957
6 · The paper itself

Abstract

Studies have suggested that phytochemicals in green tea have systemic anti-inflammatory and neuroprotective effects. However, the mechanisms behind these effects are poorly understood, possibly due to differential metabolism of phytochemicals resulting from variation in gut microbiome composition. To unravel this complex relationship, our team utilized a novel combined microbiome analysis and metabolomics approach applied to low complexity microbiome (LCM) and human colonized (HU) gnotobiotic mice treated with an acute dose of powdered matcha green tea. A total of 20 LCM mice received 10 distinct human fecal slurries for an n=2 mice per human gut microbiome; 9 LCM mice remained un-colonized with human slurries throughout the experiment. We performed untargeted metabolomics on green tea and plasma to identify green tea compounds that were found in plasma of LCM and HU mice that had consumed green tea. 16S ribosomal RNA gene sequencing was performed on feces of all mice at study end to assess microbiome composition. We found multiple green tea compounds in plasma associated with microbiome presence and diversity (including acetylagmatine, lactiflorin, and aspartic acid negatively associated with diversity). Additionally, we detected strong associations between bioactive green tea compounds in plasma and specific gut bacteria, including associations between spiramycin and

Identifiers

PMID39605610
PMCPMC11601224

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.